摘要
以保障电网正常运行、提升其安全性为目的,构建基于贝叶斯博弈的电力通信网异常数据主动防御模型。采用电力通信网异常数据,使用多波束形成算法提取电力通信网异常数据的时移、频移和相位特征,根据特征,采用贝叶斯博弈构建主动防御模型,依据电力通信网异常数据特征生成攻击和防御策略,攻击和防御策略通过对峙过程,实现电力通信网主动防御。实验结果表明:所构建模型采集电力通信网数据的误差偏小,时间短,可有效检测电力通信网异常数据,具备较好的主动防御能力。
In order to ensure the normal operation of power grid and improve its security,an active defense model of abnormal data in power communication network based on Bayesian game is constructed.The abnormal data of electric power communication network is adopted,and the time shift,frequency shift and phase characteristics of the abnormal data of electric power communication network are extracted using the multi beam forming algorithm.According to the characteristics,the Bayesian game is used to build an active defense model,and the attack and defense strategies are generated according to the abnormal data characteristics of electric power communication network.The attack and defense strategies realize the active defense of electric power communication network through the confrontation process.The experimental results show that the model can effectively detect abnormal data of power communication network and has better active defense capability.
作者
李莉
刘志雄
薛璐璐
谢宏坤
LI Li;LIU Zhi-xiong;XUE Lu-lu;XIE Hong-kun(State Grid Jibei Electronic Economic Research Institute,Beijing 100038 China;Beijing Bowang Technology Co.,Ltd.,Beijing 100045 China)
出处
《自动化技术与应用》
2024年第12期125-129,共5页
Techniques of Automation and Applications
基金
2021年国网冀北电力有限公司经济技术研究院项目(SGJBJY00GPJS2100022)。
关键词
贝叶斯博弈
电力通信网
异常数据
主动防御模型
特征提取
数据包采集
Bayesian game
power communication network
abnormal data
active defense model
feature extraction
data packet collection
